
// g++ -O3 -g0 -DNDEBUG  sparse_transpose.cpp -I.. -I/home/gael/Coding/LinearAlgebra/mtl4/ -DDENSITY=0.005 -DSIZE=10000
// && ./a.out
//  -DNOGMM -DNOMTL
//  -DCSPARSE -I /home/gael/Coding/LinearAlgebra/CSparse/Include/
//  /home/gael/Coding/LinearAlgebra/CSparse/Lib/libcsparse.a

#ifndef SIZE
#define SIZE 10000
#endif

#ifndef DENSITY
#define DENSITY 0.01
#endif

#ifndef REPEAT
#define REPEAT 1
#endif

#include "BenchSparseUtil.h"

#ifndef MINDENSITY
#define MINDENSITY 0.0004
#endif

#ifndef NBTRIES
#define NBTRIES 10
#endif

#define BENCH(X)                                                                                                       \
	timer.reset();                                                                                                     \
	for (int _j = 0; _j < NBTRIES; ++_j) {                                                                             \
		timer.start();                                                                                                 \
		for (int _k = 0; _k < REPEAT; ++_k) {                                                                          \
			X                                                                                                          \
		}                                                                                                              \
		timer.stop();                                                                                                  \
	}

int
main(int argc, char* argv[])
{
	int rows = SIZE;
	int cols = SIZE;
	float density = DENSITY;

	EigenSparseMatrix sm1(rows, cols), sm3(rows, cols);

	BenchTimer timer;
	for (float density = DENSITY; density >= MINDENSITY; density *= 0.5) {
		fillMatrix(density, rows, cols, sm1);

// dense matrices
#ifdef DENSEMATRIX
		{
			DenseMatrix m1(rows, cols), m3(rows, cols);
			eiToDense(sm1, m1);
			BENCH(for (int k = 0; k < REPEAT; ++k) m3 = m1.transpose();)
			std::cout << "  Eigen dense:\t" << timer.value() << endl;
		}
#endif

		std::cout << "Non zeros: " << sm1.nonZeros() / float(sm1.rows() * sm1.cols()) * 100 << "%\n";

		// eigen sparse matrices
		{
			BENCH(for (int k = 0; k < REPEAT; ++k) sm3 = sm1.transpose();)
			std::cout << "  Eigen:\t" << timer.value() << endl;
		}

// CSparse
#ifdef CSPARSE
		{
			cs *m1, *m3;
			eiToCSparse(sm1, m1);

			BENCH(for (int k = 0; k < REPEAT; ++k) {
				m3 = cs_transpose(m1, 1);
				cs_spfree(m3);
			})
			std::cout << "  CSparse:\t" << timer.value() << endl;
		}
#endif

// GMM++
#ifndef NOGMM
		{
			GmmDynSparse gmmT3(rows, cols);
			GmmSparse m1(rows, cols), m3(rows, cols);
			eiToGmm(sm1, m1);
			BENCH(for (int k = 0; k < REPEAT; ++k) gmm::copy(gmm::transposed(m1), m3);)
			std::cout << "  GMM:\t\t" << timer.value() << endl;
		}
#endif

// MTL4
#ifndef NOMTL
		{
			MtlSparse m1(rows, cols), m3(rows, cols);
			eiToMtl(sm1, m1);
			BENCH(for (int k = 0; k < REPEAT; ++k) m3 = trans(m1);)
			std::cout << "  MTL4:\t\t" << timer.value() << endl;
		}
#endif

		std::cout << "\n\n";
	}

	return 0;
}
